whisper-tinyf

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0000
• Wer: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 1e-05
• train_batch_size: 16
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• training_steps: 1000
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	100.0	100	0.0001	0.0
No log	200.0	200	0.0000	0.0
No log	300.0	300	0.0000	0.0
No log	400.0	400	0.0000	0.0
0.006	500.0	500	0.0000	0.0
0.006	600.0	600	0.0000	0.0
0.006	700.0	700	0.0000	0.0
0.006	800.0	800	0.0000	0.0
0.006	900.0	900	0.0000	0.0
0.0	1000.0	1000	0.0000	0.0

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1